Results 131 to 140 of about 18,832 (283)

Exploitation of Rabbits at the Dawn of the Holocene: Evidence From the Font Voltada Site (Northeastern Iberia) Using Comparative Neotaphonomic Models

International Journal of Osteoarchaeology, EarlyView.
ABSTRACT During the transition from the Pleistocene to the Holocene, hunter‐gatherer societies in the northeastern Iberian Peninsula increased the number of settlements and broadened their subsistence strategies. This period is marked by the appearance of terrestrial snail accumulations attributable to human harvesting, the expansion of specialized ...
Nadihuska Y. Rosado‐Méndez, Jordi Nadal, Lluís Lloveras   +2 more
wiley   +1 more source

Habitat loss reshuffles ecological and evolutionary interactions in a seed dispersal network

Oikos, EarlyView.
In tropical forests, habitat loss reshapes species composition, favoring generalists and recently emerged lineages while specialists and older evolutionary lineages are lost. However, how changes in species ecological attributes and evolutionary history affect ecological processes is poorly explored.
Fernando César Gonçalves Bonfim, Mauro Galetti, Elaine Rios, Cynthia Oliveira, Milena Gama, Ketlen Bona, Geanne Carla Novais‐ Pereira, Thiago de Castro Ribeiro, Eliana Cazetta   +8 more
wiley   +1 more source

Mechanochemically synthesized MnO2-gCN nanocomposite for photocatalytic dye and phenol degradation: A combined experiment and DFT study

Micro and Nano Engineering
We present the large-scale synthesis of Manganese dioxide-graphitic carbon nitride (MnO2-gCN) nanocomposite using a mechanochemical process. Hydrothermally synthesized rod-shaped MnO2, combined with pyrolyzed gCN powder in appropriate proportions was ...
Rajkumar Mandal, Arka Mandal, Moumita Mukherjee, Nayan Pandit, Biswanath Mukherjee   +4 more
doaj   +1 more source

RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media

Journal of Big Data
AbstractThe earliest detection of rumors across social media is the need to the hour in present global village. User’s are seamlessly connected in an unstructured network leading to rapid flow of information. User’s on the social media with malign intents may share defamatory content to contribute towards the fifth generation media warfare. The ingress
Zafran Khan, Jeonghwan Gwak, Naima Iltaf, Witold Pedrycz, Moongu Jeon   +4 more
openaire   +2 more sources

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

GCN-1 and ABCF-3 proteins are evolutionarily conserved functionally.

, 2014
(A) Schematic representations of the GCN-1 and ABCF-3 proteins used in the yeast two-hybrid binding assays. Orange box, EF3-like domain. Green boxes, AAA domains. The growth of yeast on histidine-minus medium is summarized. +, wild-type growth.
Takashi Hirose (610793), H. Robert Horvitz (112171)   +1 more
core   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Identification of Major Depressive Disorder Using Multiple Functional Connection Patterns. [PDF]

CNS Neurosci Ther
We propose a Multiple Functional Connection Pattern Graph Convolutional Network (MFCP) for major depressive disorder identification using resting‐state fMRI. By integrating Pearson correlation, sparse representation, and Granger causality–based brain networks, MFCP captures complementary connectivity information.
Ruan Y, Guan L, Peng L, Zhao L, Huang Y, Li W, Gao X.   +6 more
europepmc   +2 more sources

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Recent progress on the development of hydrogel‐based microneedles for transdermal drug delivery

VIEW, EarlyView.
This study provides a comprehensive and up‐to‐date analysis of recent progress in HMN technology, covering fundamental transdermal delivery mechanisms and design principles, biomaterials used in HMN fabrication, drug loading and release strategies, and emerging therapeutic applications.
Mohammad Muhtasim Ittisaf, Salman Farsi Taharat, Md. Sadek Miah, Hasan Tasnim Salehin, M. Azam Ali, Shoeb Ahmed   +5 more
wiley   +1 more source